Leimin Wang

8.7k citations
225 papers · 6.7k · h-index 47

Impact in

Papers in

Leimin Wang

216 papers receiving 6.6k citations

Peers

Leimin Wang
Comparison fields: 5 of 127
  • Statistical and Nonlinear Physics 3.1k
  • Computer Networks and Communications 5.0k
  • Control and Systems Engineering 1.2k
  • Electrical and Electronic Engineering 2.4k
  • Artificial Intelligence 1.1k
Replace Qiankun Song with:
Qiankun Song China
Sundarapandian Vaıdyanathan India
Jinling Liang China
Wenlian Lu China
Xian Zhang China
A. Chandrasekar India
He Huang China
Wing Shing Wong Hong Kong
Xiaofeng Chen China
Leimin Wang relative to Qiankun Song China Qiankun Song's profile →
Citations per field
00.5×1.5×1.8×
Qiankun Song · 1×
Citations per year

Countries citing papers authored by Leimin Wang

Since Specialization
Citations

This map shows the geographic impact of Leimin Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leimin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leimin Wang more than expected).

Fields of papers citing papers by Leimin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leimin Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leimin Wang. The network helps show where Leimin Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Leimin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leimin Wang Line = papers co-authored together Leimin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013210
2 2014205
3 2014180
4 2014170
5 2019166
6 2013161
7 2018149
8 2012148
9 2013143
10 2019120
11 2017110
12 2017109
13 2012108
14 2014107
15 2006106
16 2021105
17 2012103
18 201297
19 201695
20 201695

About Leimin Wang

Leimin Wang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 225 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (143 papers), Advanced Memory and Neural Computing (71 papers), stochastic dynamics and bifurcation (70 papers), Nonlinear Dynamics and Pattern Formation (42 papers), Neural Networks and Applications (34 papers), Distributed Control Multi-Agent Systems (33 papers), Chaos control and synchronization (29 papers) and Stability and Control of Uncertain Systems (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.1k citations), Computer Networks and Communications (5.0k citations), Control and Systems Engineering (1.2k citations), Electrical and Electronic Engineering (2.4k citations) and Artificial Intelligence (1.1k citations). Leimin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guodong Zhang, Zhigang Zeng, Junwei Sun, Ming‐Feng Ge, Quan Yin, Zhixia Ding, Junhao Hu, Song Zhu, Yi Shen and Chengjie Xu. Their work appears in journals such as Neurocomputing, Neural Networks, Nonlinear Dynamics, IEEE Transactions on Circuits & Systems II Express Briefs and IEEE Transactions on Neural Networks and Learning Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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